Filter by
The language used throughout the course, in both instruction and assessments.
Results for "python for genomic data science"
Skills you'll gain: Data Analysis
Fractal Analytics
Skills you'll gain: Data Visualization, Storytelling
University of Colorado Boulder
Skills you'll gain: Computer Vision, Deep Learning, Machine Learning
Skills you'll gain: Data Analysis, Data Visualization, Exploratory Data Analysis, Matlab
University of California, Davis
Johns Hopkins University
Skills you'll gain: Continuous Integration, Python Programming
University of Colorado Boulder
Skills you'll gain: Computer Programming, Distributed Computing Architecture, Computational Thinking, Computer Architecture, Computer Programming Tools, Linux
Duke University
Skills you'll gain: Basic Descriptive Statistics, Data Analysis, General Statistics, Probability & Statistics, Statistical Analysis, R Programming, Exploratory Data Analysis, Statistical Programming, Statistical Tests, Computer Programming
Skills you'll gain: Apache, Big Data, Distributed Computing Architecture, Data Management, Kubernetes, Cloud Applications, Cloud Storage, Data Architecture, Data Warehousing, Extract, Transform, Load
Edureka
Skills you'll gain: Data Analysis, Data Visualization, Exploratory Data Analysis, Machine Learning, Statistical Analysis
- Status: Free
The University of Edinburgh
In summary, here are 10 of our most popular python for genomic data science courses
- Prepare for the Meta Marketing Science Certification Exam: Meta
- Data Storytelling: Fractal Analytics
- Deep Learning Applications for Computer Vision: University of Colorado Boulder
- Exploratory Data Analysis with MATLAB: MathWorks
- Computational Social Science Capstone Project: University of California, Davis
- Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
- Selenium WebDriver 4 with Python - Zero To Hero: Packt
- Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
- Introduction to Probability and Data with R: Duke University
- Introduction to Big Data with Spark and Hadoop: IBM